Andrew G. Green

Quantum trajectory simulation of two-dimensional non-equilibrium steady states with a trapped ion quantum processor

Anna Dalmasso [1,2], Arash Jafarizadeh [1,2], Julian Boesl [3,4], Jared Jeyaretnam [1,2], Sheng-Hsuan Lin [5], Andrew G. Green [6], Frank Pollmann [3,4], Michael Knap [3,4], Juan P. Garrahan [1,2], Henrik Dreyer [5], Adam Gammon-Smith [1,2]

Abstract

Digital quantum computers offer a promising route for studying complex many-body systems that are otherwise inaccessible by their classical counterparts. Capabilities including mid-circuit measurements and feedback allow for simulating the dynamics of interacting open quantum systems. Using the Quantinuum System Model H1 trapped-ion quantum computer, we experimentally realise quantum trajectories for a two-dimensional system of (interacting) particles-hard-core bosons or fermions-undergoing stochastic driving at a source and drain at opposite corners of a square lattice. We study the non-equilibrium steady state with persistent current resulting from the this in/out flow of particles. The particle statistics, presence of interactions, and introduction of a magnetic field produce measurable effects on the steady state. Our findings highlight the rich physics in this corner driven two-dimensional setup and showcases both the power and current limitations of quantum computers as a platform to study it.

Fully optimised variational simulation of a dynamical quantum phase transition on a trapped-ion quantum computer

Lesley Gover [1], Vinul Wimalaweera [1], Fariha Azad [1], Matthew DeCross [2], Michael Foss-Feig [2,1], Andrew G. Green

Abstract

We time-evolve a translationally invariant quantum state on the Quantinuum H1-1 trapped-ion quantum processor, studying the dynamical quantum phase transition of the transverse field Ising model. This physics requires a delicate cancellation of phases in the many-body wavefunction and presents a tough challenge for current quantum devices. We follow the dynamics using a quantum circuit matrix product state ansatz, optimised for the time-evolution using a fidelity cost function. Sampling costs are mitigated by using the measured values of this circuit as stochastic corrections to a simple classical extrapolation of the ansatz parameters. Our results demonstrate the feasibility of variational quantum time-evolution and reveal a hitherto hidden simplicity of the evolution of the transverse-field Ising model through the dynamical quantum phase transition.